Job Description

Job Title: Lead Consultant - Product Data Engineer
Career Level: E
Introduction to role
Are you ready to lead the charge in transforming data into actionable insights? As a Lead Consultant - Product Data Engineer, you will be at the forefront of designing, developing, testing, deploying, and operating data, advanced analytics, and AI products that support the US Oncology Business Unit. This role demands technical leadership, collaboration with platform engineering teams, and alignment with business strategies to translate needs into technical solutions. You will serve as a technical liaison for IT Capability and Business Engagement teams, ensuring the delivery of impactful data, analytics, and AI products. Stay ahead of the curve by keeping up with the latest advancements in data engineering, analytics, and AI technology to guide your team effectively.
Accountabilities

• Lead design, development, testing, deployment, and operations for data, analytics, and AI products supporting the US Oncology Business Unit.
• Maintain deep working knowledge of US commercial datasets (Sales, Patient, Digital, etc.), their data lineage, business rules, important metrics, usage, and operations.
• Develop and maintain an in-depth understanding of data engineering and AI capabilities, staying ahead of with the latest advancements and industry trends.
• Collaborate with Global Capability, Business Engagement, Delivery, and Platform teams to drive the best customer experience and outcomes.
• Ensure products and solutions adhere to best practices and AZ architecture standards and strategy.
• Implement processes, tools, and automations to ensure developer productivity and quality.
• Provide technical expertise to peers and 3rd party development suppliers to ensure consistency with AZ IT and Commercial IT standards and processes.
• Work with platform delivery resources to validate business and functional requirements as part of product development responsibilities.
• Evaluate new technologies/application features and make recommendations for technology and business strategic roadmaps.
• Demonstrate expert understanding of AstraZeneca's application development processes for data products.
• Mentor junior staff members through technical training sessions and project output reviews.
• Establish partnerships with 3rd party suppliers for staff augmentation and project capacity, providing technical guidance for projects implemented through these suppliers.
• Serve as an internal consultant for IT and business partners across regions and business areas (Commercial, Medical).

Continuous Improvement and Innovation

• Partner with Platform Success Leads on continuous improvement opportunities within platform and product-level backlogs.
• Identify new hardware/software technologies to fit specialized business needs and configurations.
• Identify issues with current processes and provide feedback on proposed changes to enhance IT effectiveness.

Essential Skills/Experience

• Bachelor's degree or equivalent in Computer Engineering, Computer Science, or a related field
• 10+ years of experience in data/software engineering roles
• 5+ years of experience with building AWS cloud-based data pipelines
• 5+ years of experience with Python and Spark
• 3+ years of experience with Databricks, including Spark-based processing, data pipelines, and the platform's tools for analytics and machine learning
• Commitment to staying up-to-date with advancements in data engineering, AI, and Databricks features
• Experience in Continuous Integration and Deployment methods delivered as part of an agile team
• Ability to interpret and communicate technical information in business-friendly language
• Strong communication and interpersonal skills
• Proven experience managing and coaching/mentoring junior engineers
• Proven experience developing and managing relationships with 3rd party suppliers
• Strong written and verbal communication skills
• Experience working in a global organization with a complex geographical structure

Desirable Skills/Experience

• Databricks certification
• Knowledge of machine learning concepts, including model training, evaluation, deployment, and monitoring within Databricks MLflow or other MLOps platforms
• Prior experience working in Pharmaceutical or Healthcare industry IT environment
• Experience with IQVIA Claims, National and subnational sales data
• Experience working within a DevOps delivery model
• Experience working within a quality and compliance environment and application of policies, procedures, and guidelines

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We combine pioneering science with leading digital technology platforms and data to empower our business to perform at its peak. Join us at a crucial stage of our journey to become a digital and data-led enterprise. Here you can innovate, take ownership, explore new solutions, experiment with powerful technology, and tackle challenges that have never been addressed before. With countless opportunities to learn and grow in a dynamic environment backed by significant investment, there's no better place to make a meaningful impact.
Ready to make a difference? Apply now!
Date Posted 10-Jun-2025
Closing Date 13-Jun-2025
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.